## $CellCount
##
## $UMI
##
## $nFeature
##
## $PercentMT
##
## $GenesPerUMI
##
## $nFeature_vs_nCount.MT
## `geom_smooth()` using formula 'y ~ x'
##
## $nFeature_vs_nCount.SingleR
## `geom_smooth()` using formula 'y ~ x'
Data filtered via: nFeature_RNA > 1000 & percent.mt < 15
## $CellCount
##
## $UMI
##
## $nFeature
##
## $PercentMT
##
## $GenesPerUMI
##
## $nFeature_vs_nCount.MT
## `geom_smooth()` using formula 'y ~ x'
##
## $nFeature_vs_nCount.SingleR
## `geom_smooth()` using formula 'y ~ x'
Number of methods dectecting doublets by cell type in all samples, unfiltered vs filtered data
Number of methods dectecting doublets by cell type, split samples, unfiltered vs filtered data
Scrublet doublet detection in all samples, unfilt vs filt
Scrublet doublet detection, split samples, unfilt vs filt
Doublet finder detection in all samples, unfilt vs filt
Doublet finder detection, split samples, unfilt vs filt
Clustering unfiltered data, non-integrated
Clustering filtered, integrated data with resolution = 1